Where do prompts and approved documents go?
ForgeAI is designed to keep prompts, approved knowledge, and core inference in your environment. With a provider-managed service, terms, settings, and architecture determine the applicable data boundary.
FORGEAI / COMPARISON
Compare the boundary before you commit.
Cloud platforms and on-premise systems make different architectural choices. ForgeAI is for teams that want the hardware, knowledge boundary, and access model inside their own environment.
ARCHITECTURE, NOT HYPE
Five decisions determine who stays in control.
This is not a claim that every cloud platform has the same controls. It makes the tradeoffs visible before you decide where sensitive work should run.
Who owns the infrastructure?
ForgeAI is installed on hardware the customer owns at its location. A provider-managed service operates on infrastructure the provider owns and manages.
Where does core processing happen?
ForgeAI is designed around local core inference. Provider-managed services process requests in infrastructure governed by the provider’s architecture.
Who gets through the gate?
ForgeAI uses physical-key access as part of its control model and is configured around the users your team authorizes. Cloud access and identity controls vary by provider and configuration.
Who carries the operating decision?
ForgeAI is delivered and configured at your location, while your team retains the boundary and knowledge decisions. A cloud provider delivers a managed platform, but customer responsibilities vary by service.
SIDE BY SIDE
Compare the operating model, not a marketing slogan.
| Decision area | ForgeAI | Provider-managed cloud AI |
|---|---|---|
| Data boundary | Prompts, approved documents, and core inference stay inside the environment you control | Data handling, retention, and access controls depend on the provider, plan, and configuration |
| Hardware ownership | Customer-owned hardware deployed at the customer location | Provider-owned and provider-operated infrastructure |
| Inference location | Core inference is designed to run locally | Inference runs on provider-managed infrastructure |
| Primary access design | Physical YubiKey token is part of the access model | Provider account and access controls; configuration varies |
| Knowledge source | Documents, policies, SOPs, and workflows your team approves | Provider and tenant configuration varies |
| Implementation responsibility | ForgeAI is delivered and configured at your location; your team retains boundary and knowledge decisions | The provider delivers a managed platform; customer responsibilities vary by service and configuration |
| When external connectivity is unavailable | Designed for local operation; exact available capabilities depend on the configured environment | Service availability depends on external connectivity and provider architecture |
| Commercial model | Hardware purchase plus agreed monthly support | Licensing and usage models vary by provider |
| Vendor relationship | Ownership-focused deployment model | Contract and platform terms vary by provider |
Cloud capabilities, controls, and commercial terms vary by provider, plan, and configuration. Evaluate the specific service under consideration.
WHEN FORGEAI FITS
For teams that need to keep the question—and the answer—inside the boundary they own.
ForgeAI is most relevant when the work involves sensitive documents, proprietary processes, internal policy, or a need for a more concrete access and ownership model than a generic public tool can provide.
If the information is core to how your organization competes or serves people, the AI boundary deserves the same level of thought.
FREQUENTLY ASKED QUESTIONS
Questions about the tradeoffs.
Why choose on-premise AI instead of a cloud platform?
The difference is architectural. ForgeAI is deployed on hardware in your environment and is designed around local processing, controlled knowledge, physical-key access, and ownership. Cloud offerings can be appropriate for many teams, but their infrastructure, access, and commercial terms are provider-managed and vary by product.
Is ForgeAI as capable as cloud AI models?
ForgeAI is configured around models sized for your hardware and the documents and workflows your team approves. For day-to-day drafting, summarization, internal Q&A, research support, and process lookup, it is designed to be a company-specific assistant rather than a generic public tool.
What happens if our internet goes down?
ForgeAI is designed for local operation. The exact capabilities available during an outage depend on the configured environment, but its core inference workflow does not require a cloud connection.
NEXT STEP
See the operating model before you sign into one.
Join the ForgeAI waitlist, request a live walkthrough, or register investor interest or a non-binding letter of interest.